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Toshihisa Kosaka
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Journal Articles
- 2009
- [j6]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Continuous fatigue level estimation for the classification of fatigued bills based on an acoustic signal feature by a supervised SOM. Artif. Life Robotics 13(2): 547-550 (2009) - 2004
- [j5]Ali Ahmadi, Sigeru Omatu, Toru Fujinaka, Toshihisa Kosaka:
A reliable method for classification of bank notes using artificial neural networks. Artif. Life Robotics 8(2): 133-139 (2004) - [j4]Ali Ahmadi, Sigeru Omatu, Toru Fujinaka, Toshihisa Kosaka:
A reliable method for classification of bank notes using artificial neural networks. Artif. Life Robotics 8(2): 133-139 (2004) - [j3]Ali Ahmadi
, Sigeru Omatu, Toru Fujinaka, Toshihisa Kosaka:
Improvement of reliability in banknote classification using reject option and local PCA. Inf. Sci. 168(1-4): 277-293 (2004) - 2000
- [j2]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Neuro-Classification of Currency Fatigue Levels Based on Acoustic Cepstrum Patterns. J. Adv. Comput. Intell. Intell. Informatics 4(1): 18-23 (2000) - 1992
- [j1]Minoru Fukumi, Sigeru Omatu, Fumiaki Takeda, Toshihisa Kosaka:
Rotation-invariant neural pattern recognition system with application to coin recognition. IEEE Trans. Neural Networks 3(2): 272-279 (1992)
Conference and Workshop Papers
- 2010
- [c14]Sigeru Omatu, Masao Fujimura, Toshihisa Kosaka:
Feature Selection Method for Classification of New and Used Bills. DCAI 2010: 1-8 - 2009
- [c13]Ali Ahmadi
, Sigeru Omatu, Toshihisa Kosaka:
Improvment of bank note clasification reribility. ICONS 2009: 215-218 - 2008
- [c12]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Fatigue Level Estimation of Bill by Using Supervised SOM Based on Feature-Selected Acoustic Energy Pattern. HIS 2008: 368-373 - [c11]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Fatigue level estimation of bill based on feature-selected acoustic energy pattern by using supervised SOM. CSTST 2008: 325-330 - 2007
- [c10]Sigeru Omatu, Michifumi Yoshioka, Toshihisa Kosaka:
Bank note classification using neural networks. ETFA 2007: 413-417 - 2003
- [c9]Ali Ahmadi
, Sigeru Omatu, Toshihisa Kosaka:
A methodology to evaluate and improve reliability in paper currency neuro-classifiers. CIRA 2003: 1186-1189 - [c8]Ali Ahmadi
, Sigeru Omatu, Toshihisa Kosaka:
An effective reject rule for reliability improvement in bank note neuro-classifiers. NNSP 2003: 509-516 - 2002
- [c7]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Neuro-classification of Bill Fatigue Levels Based on Acoustic Wavelet Components. ICANN 2002: 1074-1079 - 2001
- [c6]Toshihisa Kosaka, Sigeru Omatu, Toru Fujinaka:
Bill classification by using the LVQ method. SMC 2001: 1430-1435 - 2000
- [c5]Toshihisa Kosaka, Sigeru Omatu:
Classification of the Italian Liras Using the LVQ Method. IJCNN (3) 2000: 145-148 - [c4]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
Classification of Bill Fatigue Levels by Feature-Selected Acoustic Energy Pattern Using Competitive Neural Network. IJCNN (6) 2000: 249-252 - [c3]Toshihisa Kosaka, Sigeru Omatu:
Classification of the Italian Lira using the LVQ method. SMC 2000: 2769-2774 - 1999
- [c2]Masaru Teranishi, Sigeru Omato, Toshihisa Kosaka:
New and used bills classification for cepstrum patterns. IJCNN 1999: 3978-3981 - 1998
- [c1]Masaru Teranishi, Sigeru Omatu, Toshihisa Kosaka:
New and Used Bills Classification Using Competitive Neural Network Based on Cepstrum Pattern. ICONIP 1998: 1172-1175
Coauthor Index
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